PCA Index Dashboard Examples

PCA Index Dashboard Examples#

This script was last run at 2024-03-28 23:42:32.562158+00:00 (UTC)
In US/Central Time, this is 2024-03-28 18:42:32.562158-05:00
import matplotlib.pyplot as plt
import pandas as pd
import numpy as np

# Generating a random time series data
dates = pd.date_range(start="2021-01-01", end="2021-12-31", freq='D')
data = np.random.randn(len(dates)).cumsum()

# Creating the plot
plt.figure(figsize=(10, 6))
plt.plot(dates, data, label='Random Time Series', color='blue')
plt.title('Random Time Series Plot')
plt.xlabel('Date')
plt.ylabel('Value')
plt.legend()
plt.grid(True)
plt.xticks(rotation=45)
plt.tight_layout()

# Display the plot
plt.show()
print('We are just generating a random time serie here.')
../_images/5983075b2c299c90440518839f7223eca637ee099b89f79b5f679c9d1081e160.png
We are just generating a random time serie here.
../_images/6b2190a34f41752970b59a934873cad5415798b9f5f2fa62190bc4e4ec3f3069.png
../_images/4be76538e0832d1dcd9477d7917264c696d5a793bcebc7c32e012774c8694fff.png